Valle Crucis Corporation wanted to determine the relationship between as monthly operating costs and a potential cost driver, machine hours. The output of a regression analysis showed the following information (note only a portion of the regression analysis results is presented here) (Click the loon its view the portion of the regression analysis) What as closest to the total cost & the firm uses 6,000 machine hours? OA $14.729.732 60 OB 56538.00 OC. $7.257 49 OD $1.365.50 Data Table SUMMARY OUTPUT Regression Stadstice Multiple R 0901108748 RS 0.002206551 Adjusted R Square 0977870660 Standant Emor 675453538 Observations ANOVA Cak i st your answer Regression Residual Total Coeficients Intercept Vanable 1 294594052 0.718590832 $5 MS F Significance F 00011823 1013011.000 1013811.800 2215440735 18271.43463 4567.50650 1032083333 Standard Emor Stat 104 105644 15.17701095 0.000109885 004823407 14 80780767 0.00011823 Lower RO% 2407 022299 0584000919